Kalshi Consensus Divergence Monitor

For Claude: How to Use This Skill

Skill instructions are preloaded in context when this skill is active. Do not perform filesystem searches or tool-driven exploration to rediscover them; use the guidance below directly.

When to Use

• monitor kalshi divergence
• rank kalshi consensus breaks
• check kalshi spreads across venues

Output Contract

This skill is self-contained. Use these local references:

• references/output-contract.md
• references/desktop-summary-template.md

Workflow Summary

1. fetch_kalshi_markets uses connector.kalshi_oracle.get
2. score_divergence uses transform.score_kalshi_divergence
3. rank_divergence uses transform.rank_kalshi_divergence
4. compare_previous_scan uses transform.diff_kalshi_divergence_runs
5. persist_run uses connector.storage.post
6. persist_observations uses connector.storage.post
7. render_summary uses transform.render_kalshi_divergence_report

Responsibilities

• monitor cross-venue Kalshi dislocations
• rank the strongest consensus breaks
• summarize spread and disagreement
• explain what changed since the prior scan
• persist ranked divergence observations

Output Rules

Return ranked market_candidates, a watchlist for lower-conviction breaks, and an explicit risk_note even when there is no tradable setup.